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Job Description We are seeking a talented and highly motivated PhD student to work in the field of transient astrophysics with a special focus on large transient surveys in the era of big data
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customization of Large Language Models for educational purposes. The ideal candidate must have a strong professional network and documented collaboration capabilities, alongside a proven track record in
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understood in a generic sense as specific food products, food processes and technologies, and food production/consumption systems at large. We seek a candidate with the potential for independent research, a
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have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT), smart and secure societies, smart
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analytical chemistry, spectroscopy, medical devices, sensors, bioanalysis, and if possible large data analysis. You are highly independent, self-motivated and enjoy collaboration in a multidisciplinary
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interest in sustainable energy Quantitative skills and experience with data mining and handling big datasets Excellent communication skills, both in writing and oral presentation Open-minded team player
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solutions to the challenge of handling and interpreting large scale and heterogeneous big data. DTU Health Tech With a vision to improve health and quality of life through technology, DTU Health Tech engages
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goals Teach and co-supervise BSc and MSc student projects Participate in Arctic field campaigns We expect you to have: Experience in working with large data sets and development of algorithms. At least